Computer servers for datacenter management

ABSTRACT

A method for data management comprises receiving a request from a remote computer system of a datacenter to retrieve data stored across a plurality of computer servers in a distributed manner. The data can be with respect to a state and/or attribute of the remote computer system of the datacenter. The request can be received at a first computer server dedicated to the remote computer system among the plurality of computer servers. The first computer server can generate a query to retrieve the data and direct the query to one or more other computer servers of the plurality of computer servers to retrieve the data. The data can be aggregated at the first computer server from the one or more other computer servers and transmitted to the remote computer system from the first computer server dedicated to the remote computer system.

CROSS-REFERENCE

This application claims priority to U.S. Provisional Patent ApplicationSer. No. 62/092,778, filed Dec. 16, 2014, which is entirely incorporatedherein by reference.

BACKGROUND

A data center is a facility that may be used to house computer systemsand associated components, such as telecommunications and storagesystems. A data center may include redundant or backup power supplies,redundant data communications connections, environmental controls (e.g.,air conditioning and fire suppression) and various security devices.

The organization of large scale data centers has evolved rapidly as thecommercial opportunities they provide has expanded. Typical modern datacenters may be organized collections of clusters of hardware that runcollections of standard software packages, such as web servers databaseservers, etc., which may be interconnected by high speed networking,routers, and firewalls. Human operators typically organize thesemachines, optimize their configuration, debug errors in theirconfiguration, and install and uninstall software on the constituentmachines.

There are web services (e.g., software as a service, or “SaaS”) that aresupported by data centers. Many services are designed as “distributed”applications characterized by components that run on different machines,typically in communication via a network, such as the Internet. Forexample, a shift towards interactive Web 2.0 applications has led todevelopment of truly distributed systems where code is written indifferent languages, runs on multiple machines, and interacts in complexways. Today, many such applications are written in an ad-hoc manner,where the server and client-side functionality are developed at the sametime—but separately and often in different programming languages—andsubsequently combined. Distribution of multi-tier components can becomplex and require significant resources to ensure proper operation,not to mention collection of information as to how an applicationperforms, the number of users and other metrics that can impact overallcost (e.g., number of servers, bandwidth, number of I/Os, advertisingrevenue, etc.).

SUMMARY

The present disclosure provides computer systems for monitoring datacenters. Computer systems of the present disclosure can includecomputers that store storing information that is relevant to adatacenter, including an attribute and/or a state of each computerserver of the datacenter.

Systems of the present disclosure provide a platform for automatedsystems management and analytics. Such systems can be a readily scalableapproach to deploy, monitor and operate data center infrastructures.

Systems provided herein can be fully integrated deployment andoperations platforms. They can take racks of servers from the factoryand can automate and configure bare-metal configuration settings (BIOS,BMC, RAID, peripherals, etc.) as well as firmware packages to optimize adata center. Systems provided herein can provide insight into powerconsumption, temperature and environmental data, in addition to standardmonitoring components of data centers, such as components of computerservers (e.g., computer processors, memory, hard disks and networktraffic).

Computer systems of the present disclosure can provide users (e.g.,systems administrators) the ability to monitor data centers having avariety of computer servers, and to take action with respect to anattribute or state change of those computer servers. This enables theusers to take action in little to no time, substantially improving themanner in which data centers are monitored and maintained. Computersystems provided herein can minimize, if not eliminate, downtime thatmay be associated with loss in data center performance, includingcomputer server failure.

Computer systems of the present disclosure can provide variousadvantages and benefits, such as enabling users to monitor and managedata centers with a plurality of devices (e.g., computer servers) from asingle location, and take any action that may be necessary to maintainthe devices. In some situations, a user can receive a notification of arequest for an action and take action in a time period that is less thanabout 30 minutes, 20 minutes, 10 minutes, 5 minutes, 1 minute, 30seconds or 10 seconds. As an alternative, the user can request thataction be taken automatically if one or more conditions defined by theuser have been satisfied.

In an aspect, the present disclosure provides a computer-implementedmethod for data management, comprising (a) providing a computer systemincluding a plurality of computer servers that are operatively coupledto one another over a first network, wherein each of the plurality ofcomputer servers is programmed to store data with respect to anattribute and/or state of a remote computer system, wherein theplurality of computer servers includes a first computer server that isoperatively coupled to the remote computer system over a second network,which first computer server is dedicated to the remote computer systemfor access and/or retrieval of the data; (b) receiving, at the firstcomputer server over a second network, a request from the remotecomputer system to retrieve at least a subset of the data; (c) directingover the first network a query from the first computer server to one ormore other computer servers of the plurality of computer servers toretrieve the at least the subset of the data; (d) aggregating at least aportion of the at least the subset of the data at the first computerserver from the one or more other computer servers over the firstnetwork; and (e) directing the at least the subset of the data from thefirst computer server to the remote computer system over the secondnetwork.

In some embodiments, the data is stored in a distributed fashion on atleast a subset of the plurality of computer servers. In someembodiments, the data is stored with a timestamp that corresponds to thedate and time point(s) in which the data was stored in the plurality ofcomputer servers. In some embodiments, (d) comprises sorting the atleast the subset of the data by the timestamp. In some embodiments, thedata is stored with information that identifies which of the pluralityof computer servers stored the data or subset thereof. In someembodiments, the one or more other computer servers include a secondcomputer server that is operatively coupled to the first computer serverover the first network, which second computer server mirrors the firstcomputer server. In some embodiments, (d) comprises transforming the atleast the subset of the data collected from the first computer serverand/or the one or more other computer servers into a format that ispresentable to the remote computer system. In some embodiments, (d)comprises aggregating a remainder of the at least the subset of the datafrom the first computer server.

In another aspect, the present disclosure provides a system for datamanagement, comprising a computer system having a plurality of computerservers that are operatively coupled to one another over a firstnetwork, wherein each of the plurality of computer servers is programmedto store data with respect to an attribute and/or state of a remotecomputer system, wherein the plurality of computer servers includes afirst computer server that is operatively coupled to the remote computersystem over a second network, which first computer server is dedicatedto the remote computer system for access and/or retrieval of the data; acommunication interface that is adapted to bring the first computerserver in communication with the remote computer server over the secondnetwork; and a computer processor that is programmed to (i) receive arequest from the remote computer system via the communication interfaceover the second network to retrieve at least a subset of the data; (ii)direct over the first network a query to the one or more other computerservers of the plurality of computer servers to retrieve the subset ofthe data; (iii) aggregate at least a portion of the subset of the dataat the first computer server from the one or more other computer serversover the first network; and (iv) direct the subset of the data from thefirst computer server to the remote computer system over the secondnetwork.

In some embodiments, the data is stored in a distributed fashion on atleast a subset of the plurality of computer servers. In someembodiments, the data is stored with a timestamp that corresponds to thedate and time point(s) in which the data was stored in the plurality ofcomputer servers. In some embodiments, the computer processor isprogrammed to sort the at least the subset of the data by the timestamp.In some embodiments, the data is stored with information that identifieswhich of the plurality of computer servers stored the data or subsetthereof. In some embodiments, the one or more other computer serversinclude a second computer server that is operatively coupled to thefirst computer server over the first network, which second computerserver mirrors the first computer server. In some embodiments, thecomputer processor is programmed to transform the at least the subset ofthe data collected from the first computer server and/or the one or moreother computer servers into a format that is presentable to the remotecomputer system. In some embodiments, the computer processor isprogrammed to aggregate a remainder of the at least the subset of thedata from the first computer server. In some embodiments,

Another aspect of the present disclosure provides a non-transitorycomputer-readable medium comprising machine-executable code that uponexecution by one or more computer processors implements any of themethods above or elsewhere herein.

In some embodiments, a computer-readable medium comprisesmachine-executable code that, upon execution by one or more computerprocessors, implements a method for data management, the methodcomprising providing a computer system including a plurality of computerservers that are operatively coupled to one another over a firstnetwork, wherein each of the plurality of computer servers is programmedto store data with respect to an attribute and/or state of a remotecomputer system, wherein the plurality of computer servers includes afirst computer server that is operatively coupled to the remote computersystem over a second network, which first computer server is dedicatedto the remote computer system for access and/or retrieval of the data;receiving, at the first computer server over a second network, a requestfrom the remote computer system to retrieve at least a subset of thedata; directing over the first network a query from the first computerserver to one or more other computer servers of the plurality ofcomputer servers to retrieve the at least the subset of the data;aggregating at least a portion of the at least the subset of the data atthe first computer server from the one or more other computer serversover the first network; and directing the at least the subset of thedata from the first computer server to the remote computer system overthe second network.

In some embodiments, the data is stored in a distributed fashion on atleast a subset of the plurality of computer servers. In someembodiments, (d) comprises transforming the at least the subset of thedata collected from the first computer server and/or the one or moreother computer servers into a format that is presentable to the remotecomputer system. In some embodiments, (d) comprises aggregating aremainder of the at least the subset of the data from the first computerserver.

Another aspect of the present disclosure provides a system comprisingone or more computer processors and memory coupled thereto. The memorycomprises machine-executable code that upon execution by the one or morecomputer processors implements any of the methods above or elsewhereherein.

Additional aspects and advantages of the present disclosure will becomereadily apparent to those skilled in this art from the followingdetailed description, wherein only illustrative embodiments of thepresent disclosure are shown and described. As will be realized, thepresent disclosure is capable of other and different embodiments, andits several details are capable of modifications in various obviousrespects, all without departing from the disclosure. Accordingly, thedrawings and description are to be regarded as illustrative in nature,and not as restrictive.

INCORPORATION BY REFERENCE

All publications, patents, and patent applications mentioned in thisspecification are herein incorporated by reference to the same extent asif each individual publication, patent, or patent application wasspecifically and individually indicated to be incorporated by reference.

BRIEF DESCRIPTION OF THE DRAWINGS

The novel features of the invention are set forth with particularity inthe appended claims. A better understanding of the features andadvantages of the present invention will be obtained by reference to thefollowing detailed description that sets forth illustrative embodiments,in which the principles of the invention are utilized, and theaccompanying drawings (also “figure” and “FIG.” herein), of which:

FIG. 1 shows a computer system for data management; and

FIG. 2 schematically illustrates a computer system that is programmed orotherwise configured to implement user interfaces of the presentdisclosure.

DETAILED DESCRIPTION

While various embodiments of the invention have been shown and describedherein, it will be obvious to those skilled in the art that suchembodiments are provided by way of example only. Numerous variations,changes, and substitutions may occur to those skilled in the art withoutdeparting from the invention. It should be understood that variousalternatives to the embodiments of the invention described herein may beemployed.

The term “attribute,” as used herein, generally refers to a property ofsoftware products, computer systems or computer servers, or processes.

The term “metric,” as used herein, generally refers to a quantitativeattribute.

The term “state,” as used herein, generally refers to a condition of acomputer system or computer server. The state of a computer system caninclude various operational parameters of the computer system, includingpower consumption, temperature and environmental data (e.g., pressure,temperature and humidity).

The term “node,” as used herein, generally refers to a device beingmonitored or managed, such as a computer server, or any connecteddevice.

Computer Systems and Methods for Data Management

The present disclosure provides computer systems for data management,including data storage, access and retrieval. Such computer systems canbe employed for storing data, which can be used for various settings. Insome examples, computer systems of the present disclosure can be used tomonitor and manage datacenters, each of which can include one or morecomputer servers.

A computer system for data storage and/or management can include aplurality of computer servers that are operatively coupled to oneanother over a first network. Each of the plurality of computer serverscan be programmed to store data, such as data is with respect to anattribute and/or state of a remote computer system. A computer servercan store other data, such as, for example, financial data, health data,media data (e.g., images, audio and/or video), and/or textual data(e.g., documents). The plurality of computer servers can include a firstcomputer server that is operatively coupled to the remote computersystem over a second network. The first computer server can be dedicatedto the remote computer system for access and/or retrieval of the data.That is, when the remote computer system wishes to access the data, theremote computer system contacts the first computer server.

The remote computer system can contact the first computer serverdirectly or through one or more other computers, such as one or moreother computer servers. The remote computer server can contact the firstcomputer server over a network. The remote computer server can contactthe first computer server through a wired connection or wirelessconnection, each of which may be over a network.

In a method for data management, a request from the remote computersystem to retrieve at least a subset of the data is received at thefirst computer server over a second network. The second network can bedifferent than the first network. For example, the first network can bean intranet or other local network, and the second network can be theInternet. The request can be by way of a query that is generated at theremote computer system.

Next, the first computer server can generate a query and direct thequery over the first network to one or more other computer servers ofthe plurality of computer servers. The query can be directed toretrieving the at least the subset of the data.

Next, the at least the subset of the data can be aggregated at the firstcomputer server from the first computer server and/or the one or moreother computer servers over the first network. In some cases, the atleast the subset of the data is aggregated from the one or more othercomputer servers. The at least the subset of the data can be aggregatedin view of the query.

Next, the at least the subset of the data can be directed from the firstcomputer server to the remote computer system over the second network.In such manner, the first computer server can assume the responsibilityof querying the other computer servers to collect data that meets thequery and direct the data to the remote computer system.

The data can be stored in a distributed fashion on at least a subset ofthe plurality of computer servers. At least about 0.1%, 1%, 10%, 20%,30%, 40%, 50%, 60%, 70%, 80%, or 90% of the data can be stored on thefirst computer server, and at least a portion or all of the remaindercan be stored on one or more other computer servers. The one or moreother computer servers can include at least 1, 2, 3, 4, 5, 6, 7, 8, 9,10, 20, 30, 40, 50, 100, 200, 300, 400, 500, or 1000 computer servers.Data may be stored on one or more computer servers via data replication.For example, 10% of the data can be stored (or replicated) on the firstcomputer server and 90% of the data can be stored on the one or moreother computer servers. However, by querying the plurality of computerservers, all of the data meeting the query can be aggregated at a singlelocation regardless of the location at which it is stored. This canenable for an efficient manner to store and access data across multiplecomputer servers.

In some examples, a variety of different methods may be used todetermine data storage (or replication). The distribution of data may beuser/developer configurable based on a particular use case. In someexamples, clients may only send one copy of a particular data (e.g.,message) to a given server. The servers, in turn, may replicate the onecopy to other servers.

In cases where queries are done on primary copies of data, the replicasmay be intended only for disaster recovery. In such cases, replicationmay be done periodically between servers in bulk. In particular, in someexamples, replication may be done on a bulk-level rather than aper-message or per-data unit level. For example, if a client sends asyslog message, each individual syslog may be synchronized to a primaryserver's storage in real-time. However, the replication of the messagesmay be done asynchronously in batches of larger chunks (e.g., groups ofmessages).

In some examples, server side replication partner selection may beautomatic, but may not use consistent hashing like clients selectingservers. Instead, a modulo-based formula may be used per cluster set. Insome examples, a set is a group of nodes. In some cases, a minimum sizeof a cluster set is two. In some examples, when adding new nodes, atleast two nodes may be added at a time. When at least two nodes areadded at a time, replication can proceed without disruption.Additionally, there may also be a replication specification that theusers can set to configure various options to replicate (e.g., interval,push/pull, etc.).

In some examples, replication may have several parameters that can beset using a rep-spec command line flag or the HTTP API(/api/v1/setRepSpec). In some examples, the string is composed of one ormore comma-separated parameters, assuming the default values if missing.In some examples, the parameters may be: mode=pull, which pulls the datafrom the remote end; mode=push, which requests a push to ourself fromthe remote end; mode=pull-once, which requests a pull to ourself fromthe remote end only once until the next rep-spec is called;mode=push-once, which requests a push to ourself from the remote endonly once until the next rep-spec is called; mode=disable, which is notstarting the replication until the next rep-spec is called; interval=X,which starts the replication process every X seconds, X may be positive;addr=auto, which finds a replication peer automatically using discoveryand the modulo based formula; addr=IP:PORT, which sets the replicationpeer to the given IP:PORT address; target=replica, in which all the datagets replicated to the replica directory; and/or target=primary, inwhich the primary data gets replicated to the primary directory, thedirectories bolt and tv go to the replica directory.

In some examples, the following sequence of events will occur: (1) Agoes down, A comes up: B will buffer data until A comes up, then it willforward the buffered data to A, A will pull from B to ensure that nodata got lost; (2) B goes down, B comes up: B will push to A, repairingany data that may have be lost; (3) A goes down, B goes down, A comesup, B comes up: B will replicate its primary data by pushing to A andthen keep forwarding; and (4) A goes down, B goes down, B comes up, Acomes up: B will buffer data until A comes up, then it will forward thebuffered data to A, A will pull from B to ensure that no data got lost.

In some cases, the data can be stored with a timestamp that correspondsto the date and time point(s) in which the data was stored in theplurality of computer servers. The timestamp can include otherinformation that may be relevant to the data, such as information thatidentifies which of the plurality of computer servers stored the data orsubset thereof.

In some cases, upon aggregating at least the subset of the data, thesubset can be sorted by various parameters. For example, the at leastthe subset of the data can be sorted by timestamp (e.g., newest tooldest, or vice versa).

A given data can be stored with information that identifies which of theplurality of computer servers stored the given data or subset thereof.For example, if the first computer server stored the given data, thenthe given data can be stored with identifying information of the firstcomputer server, such as a unique identifier (e.g., media access control(MAC) address).

The one or more other computer servers can include a second computerserver that is operatively coupled to the first computer server over thefirst network. The second computer server can mirror the first computerserver. In some cases, the second computer server includes a datastorage unit that is at least a partial or full replica of a datastorage unit of the first computer server. This can enable the secondcomputer server to take the place of the first computer server in casethe first computer server experiences a crash or other failure. Thesecond computer server can then be dedicated to the remote computersystem for access and/or retrieval of the data.

In some situations, upon aggregating the at least the subset of thedata, the at least the subset is transformed. For example, the at leastthe subset of the data collected from the first computer server and/orthe one or more other computer servers can be transformed into a formatthat is presentable to the remote computer system.

The remote computer system can be a remote datacenter, which can includeone or more remote computer servers. Each computer server can storeinformation that is relevant to the remote datacenter. The informationcan include an attribute and/or state of each of the one or more remotecomputer servers. The computer system can include a computer processorthat is programmed to monitor the attribute of each of the one or moreremote computer servers and receive periodic updates with respect to theattribute and/or state. The computer processor can be a centralprocessing unit (CPU). The computer processor can also be programmed todirect the periodic updates to the datacenter. The period updates can bedirected asynchronously.

An update may be indicative of a change in an attribute, a state or boththe attribute and the state of a computer server. For example, theupdate may indicate that the computer server, which was operating undernormal conditions, now has an attribute or state that is indicative of amalfunction (e.g., faulty hard drive or high processor temperature). Asan alternative or in addition to, the update may be indicative of nochange in an attribute, a state or the attribute and the state of thecomputer server. For example, the update may indicate that the computerserver is still operating under normal conditions.

A data center can be located in a different city of state than thecomputer system. The data center can be located at a distance that is atleast about 0.1 miles, 1 mile, 2 miles, 3 miles, 4 miles, 5 miles, or 10miles from the computer system.

A state of a remote computer server can be selected from memoryutilization, computer processor utilization, disk utilization,active/inactive, process information and/or sensor information. Anattribute of the remote computer server can be selected from computerprocessor, operating system, hard disk platform, vendor, media accesscontrol (MAC) address and/or physical components.

At least some or a majority of the remote computer servers can bemanufactured by different vendors, such as different companies (e.g.,Dell® and Lenovo®). The computers servers can have different deviceattributes, such as different computer processors and/or memory.

The computer system can provide notifications to the user. An example ofa notification can be a reminder, such as a reminder for softwareupgrade (e.g., firmware upgrade). Another example of a notification isan alert, such as an alert that a computer server is not functioning orrequires maintenance.

The computer system can enable the user to instruct each remote computerserver of the datacenter to perform an action. The action can be, forexample, to turn a remote computer sever on or off, to perform an update(e.g., software update), or to take the computer server offline.

The computer system can provide the user with metrics that are relevantto at least a subset of the one or more remote computer servers of thedatacenter. A metric can be a performance metric, such as resourceutilization of a remote computer server or multiple remote computerservers. In some examples, metrics include computer processorutilization, memory utilization, disk space utilization, processes beingrun, and/or sensor utilization. The computer system can be programmed toenable various user-implemented actions (e.g., update firmware,activate, inactivate, or burn in) with respect to each remote computerserver of the datacenter.

In some cases, as data is saved on a computer server, a message digestof the data is generated. The message digest can be a cryptographic hashfunction containing a string of digits created by a one-way hashingformula.

The first computer server can include a log file showing the data orsubset thereof and other identifying information, such as a timestamp ofeach of the data or subset thereof and identifying information withrespect the computer server(s) on which the data or subset thereof isstored. The log file can be updated periodically (e.g., every 1 second,10 seconds, 60 seconds, or 10 minutes), or upon the occurrence of atrigger event, such as when the first computer server is accessed or asystem level event.

Systems provided herein can be fully integrated deployment andoperations platforms. They can take racks of servers from the factoryand can automate and configure bare-metal configuration settings (BIOS,BMC, RAID, peripherals, etc.) as well as firmware packages to optimize adata center. Systems provided herein can provide insight into powerconsumption, temperature and environmental data, in addition to standardmonitoring components of data centers, such as components of computerservers (e.g., computer processors, memory, hard disks and networktraffic).

FIG. 1 shows a computer system 100 for data management. The system 100can enable the storage, access and/or retrieval of data stored by remotecomputer systems on the system 100. The remote computer system can bedatacenters each having one or more remote computer servers.

The computer system 100 includes a plurality of computer servers,including a first computer server 101, second computer server 102, thirdcomputer server 103 and fourth computer server 104. The computer system100 can include any number of computer servers, in some cases at least2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30, 40, 50, 100, 200, 300, 400, 500,1000 or more computer servers. The computer servers 101-104 are incommunication with one another over a network that is internal to thecomputer system 100, as shown by dashed lines.

Each of the computer servers 101, 102, 103 and 104 may be a node. Eachof the nodes may be monitored. For example, a state and/or attribute ofa node may be monitored.

A user may monitor multiple nodes and take a given action or a pluralityof actions with respect to at least a subset of the nodes. The actioncan be defined by the user or a default action, such as a default actionimplemented by a computer system of the user. The computer system of theuser can include a user interface that enables the user to interact witha node or view a state and/or attribute of the node. Examples of userinterfaces that may be usable by methods and systems of the presentdisclosure are provided in PCT/US15/44721 (“SYSTEMS FOR MANAGINGDATACENTERS”), which is entirely incorporated herein by reference.

With continued reference to FIG. 1, a first remote computer system 106,second remote computer system 107, third remote computer system 108 andfourth remote computer system 109 are in communication with the system100 over a network (e.g., Internet). At least some of the remotecomputer systems 106-109 can be datacenters, each having one or moreremote computer servers. As an alternative, at least some of the remotecomputer systems 106-109 can be computers systems that managedatacenters (e.g., computers systems of systems administrators). Datastored by the computer system 100 can be with respect to a state and/orattribute of a given remote computer system 106, 107, 108 or 109,including one or more remote computer servers of the given remotecomputer system 106, 107, 108 or 109.

In an example, the first remote computer system 106 is a data centerthat includes a plurality of remote computer servers that enable usersto store data. The computer system 100 access the remote computer system106 to monitor a state of the remote computer system 106. The remotecomputer system 106 can send the computer system 100 periodic (e.g.,every 1 second, 10 seconds, 60 seconds, or 10 minutes) updates ofinformation with respect to a state and/or attribute of the computersystem 106. Such information can be stored by the computer system 100 ina distributed fashion. In some cases, the information is stored withidentifying details as to the source of the information (e.g., remotecomputer system), details as to the system on which the information isstored, and a timestamp that indicates when the information was stored.

For instance, the first computer server 101 can be dedicated for directcommunication with the first remote computer system 106. In some cases,the first remote computer system 106 communicates with the firstcomputer server 101 and no other computer server in the computer system100. The first remote computer system 106 may not know the identity ofthe first computer server 101, but the computer system 100 can dedicatethe first computer server 101 for use with the first remote computersystem. When the first remote computer system 106 wishes to access suchinformation or subset thereof, the first remote computer system 106directs a query over a network to the first computer server 101, whichthen collects the information or subset thereof from itself and theother computer servers 102-104. Once the first computer server 101 hasaggregated the information, the first computer server can direct suchinformation to the first remote computer system 106. For example, thefirst computer server 101 can aggregate information with respect to anattribute and/or state of the first remote computer system 106,including metrics in some cases, and direct such information to thefirst remote computer system 106.

System 100 may be used as a virtual datacenter. In some examples, avirtual datacenter as discussed herein may be considered an industryfirst application to allow the users to build out a simulated datacenterin an instant on a laptop that constructs many various hardware serverconfigurations with an overlaying virtual network. Once the topology andservers are constructed, then the users can load and test anyapplications without any additional hardware. Key benefits may include:simulating topology and server configuration; accelerating testing ofapplications; and accelerating testing of hardware provision, deploymentsetup.

In an example of an accelerating deployment phase, the system 100 may beused for discovery and provisioning; BMC IPMI/system controls; networkand PXE services; and OS and post-OS deployment and services. In anexample of an optimizing runtime environment, the system 100 may be usedfor constructing and testing environment and topology; scale outapplication deployments; application staging and data migrations; andanalytics and predications.

In some examples, system 100 may be used to deliver an advancedinventory and analytic platform for heterogeneous, multi-vendor,multi-generational of IT infrastructure, networks and any x86/ARMservers. Additionally, system 100 may enable IT managers, operators toquickly discover datacenter assets, aggregate the inventory data andpresent them on a single dashboard to provide quick search, filter tooperate datacenter more intelligently. In addition, system 100 may alsocollect metrics, syslog to help the operator to perform preventativeanalysis.

In some examples, system 100 may boost datacenter performance by: (1)Reducing CapEx: Through discovery of under-performed, under-utilizedservers to increase the utilization; (2) Reducing OpEx: Through deepinventory analysis of components and OS packages to improve efficiencyof the overall systems; (3) Reducing unplanned outages:Cross-correlation machine learnings at component level to drive failureprediction and recommendation. Additionally, main features may include(1) Quick, simple stand-alone deployment—up running in minutes; (2)Advanced operational dashboard with native apps to analyze variousaspects of the data center; (3) High data ingested performancedatastore; (4) Time stamped of all inventory, sys-logs and metrics data;(5) Comprehensive intelligence on performance, state and reliability;(6) Root cause identification through machine learning; (7) Detailedforensic analysis to drive compliance and SLA's; (8) Fully customizablesubscriptions and alerts; and (4) Full API support.

Additionally, system 100 may also be used as an integrated solutiondesigned to provide a full life cycle management and automation forhyper-scale datacenter. It enables IT managers, operators to efficientlydeploy, provision bare metals from dock to OS ready across heterogeneoushardware. In addition, it performs many of the today and tomorrowoperations in automated fashions at large scale.

Key benefits may include (1) Reducing OpEx: Improve the data centeroperational efficiency through automation with most of the common andcomplex work flows; and (2) Reducing CapEx: Root cause and correctiveactions with data driven from the analytics. Additionally, main featuresmay include (1) Simple to deploy with no complex external dependencies;(2) Full PXE support (DHCP, DNS, TFTP); (3) Serves OS images or anyother supported files based on selected profiles; (4) Configure bootrule and any other CFI (RAID, network bonding etc); (5) Full IPMIcommand supported; (6) Perform network level in-band or out-of-bandcommands to all the servers; (7) Support multiple protocols (SNMP, IPMI,LLDP and vendor CLI); and (8) Full API support.

In some examples, system 100 is a hyperscale datacenter managementplatform that provides multi-vendor hardware control, high-speedscalable timeseries data collection and powerful interfaces fordatacenter operators and developers. Designed to manage environmentsranging from the smallest test lab to a hundred-thousand nodedatacenter, the platform of system 100 may center around flexible datamodels constructed on the fly for any data type—metrics, logs, blob dataand key-value store. Components written in technology of system 100 maybe used to discover inventory, alert on system log events and trackperformance metrics and hardware changes over time. In some examples,data may be written as fast as it is delivered in a format that easilyintegrates with other databases, languages and tools.

The computer system 100 can be used to store various types of data,including information with respect to a state and/or attribute of aremote computer system. Such data includes, without limitation, usagedata and data files. Data files can include media files, including musicfiles, video files, image files, text files, program (or software)files, or any other file that is suitable to store information. Suchdata files can also include files with metadata.

Computer Systems

The present disclosure provides computer systems that are programmed orotherwise configured to implement systems of the present disclosure.FIG. 2 shows a computer system 201 that is programmed or otherwiseconfigured to for data management. For instance, the computer system 201can be any one of the computer servers 101-104 of FIG. 1.

The computer system 201 can regulate various aspects of data centermonitoring of the present disclosure, such as, for example, monitoringcomputer servers and present a state and/or attribute of the computerservers to a user on a user interface displayed on an electronic displayof an electronic device of the user.

The computer system 201 includes a central processing unit (CPU, also“processor” and “computer processor” herein) 205, which can be a singlecore or multi core processor, or a plurality of processors for parallelprocessing. The computer system 201 also includes memory or memorylocation 210 (e.g., random-access memory, read-only memory, flashmemory), electronic storage unit 215 (e.g., hard disk), communicationinterface 220 (e.g., network adapter) for communicating with one or moreother systems, and peripheral devices 225, such as cache, other memory,data storage and/or electronic display adapters. The memory 210, storageunit 215, interface 220 and peripheral devices 225 are in communicationwith the CPU 205 through a communication bus (solid lines), such as amotherboard. The storage unit 215 can be a data storage unit (or datarepository) for storing data. The computer system 201 can be operativelycoupled to a computer network (“network”) 230 with the aid of thecommunication interface 220. The network 230 can be the Internet, aninternet and/or extranet, or an intranet and/or extranet that is incommunication with the Internet. The network 230 in some cases is atelecommunication and/or data network. The network 230 can include oneor more computer servers, which can enable distributed computing, suchas cloud computing. The network 230, in some cases with the aid of thecomputer system 201, can implement a peer-to-peer network, which mayenable devices coupled to the computer system 201 to behave as a clientor a server.

The CPU 205 can execute a sequence of machine-readable instructions,which can be embodied in a program or software. The instructions may bestored in a memory location, such as the memory 210. The instructionscan be directed to the CPU 205, which can subsequently program orotherwise configure the CPU 205 to implement methods of the presentdisclosure. Examples of operations performed by the CPU 205 can includefetch, decode, execute, and writeback.

The CPU 205 can be part of a circuit, such as an integrated circuit. Oneor more other components of the system 201 can be included in thecircuit. In some cases, the circuit is an application specificintegrated circuit (ASIC).

The storage unit 215 can store files, such as drivers, libraries andsaved programs. The storage unit 215 can store user data, e.g., userpreferences and user programs. The computer system 201 in some cases caninclude one or more additional data storage units that are external tothe computer system 201, such as located on a remote server that is incommunication with the computer system 201 through an intranet or theInternet.

The computer system 201 can communicate with one or more remote computersystems through the network 230. For instance, the computer system 201can communicate with a remote computer system of a user (e.g.,operator). Examples of remote computer systems include personalcomputers (e.g., portable PC), slate or tablet PC's (e.g., Apple® iPad,Samsung® Galaxy Tab), telephones, Smart phones (e.g., Apple® iPhone,Android-enabled device, Blackberry®), or personal digital assistants.The user can access the computer system 201 via the network 230.

Methods as described herein can be implemented by way of machine (e.g.,computer processor) executable code stored on an electronic storagelocation of the computer system 201, such as, for example, on the memory210 or electronic storage unit 215. The machine executable or machinereadable code can be provided in the form of software. During use, thecode can be executed by the processor 205. In some cases, the code canbe retrieved from the storage unit 215 and stored on the memory 210 forready access by the processor 205. In some situations, the electronicstorage unit 215 can be precluded, and machine-executable instructionsare stored on memory 210.

The code can be pre-compiled and configured for use with a machine havea processor adapted to execute the code, or can be compiled duringruntime. The code can be supplied in a programming language that can beselected to enable the code to execute in a pre-compiled or as-compiledfashion.

Aspects of the systems and methods provided herein, such as the computersystem 201, can be embodied in programming. Various aspects of thetechnology may be thought of as “products” or “articles of manufacture”typically in the form of machine (or processor) executable code and/orassociated data that is carried on or embodied in a type of machinereadable medium. Machine-executable code can be stored on an electronicstorage unit, such memory (e.g., read-only memory, random-access memory,flash memory) or a hard disk. “Storage” type media can include any orall of the tangible memory of the computers, processors or the like, orassociated modules thereof, such as various semiconductor memories, tapedrives, disk drives and the like, which may provide non-transitorystorage at any time for the software programming. All or portions of thesoftware may at times be communicated through the Internet or variousother telecommunication networks. Such communications, for example, mayenable loading of the software from one computer or processor intoanother, for example, from a management server or host computer into thecomputer platform of an application server. Thus, another type of mediathat may bear the software elements includes optical, electrical andelectromagnetic waves, such as used across physical interfaces betweenlocal devices, through wired and optical landline networks and overvarious air-links. The physical elements that carry such waves, such aswired or wireless links, optical links or the like, also may beconsidered as media bearing the software. As used herein, unlessrestricted to non-transitory, tangible “storage” media, terms such ascomputer or machine “readable medium” refer to any medium thatparticipates in providing instructions to a processor for execution.

Hence, a machine readable medium, such as computer-executable code, maytake many forms, including but not limited to, a tangible storagemedium, a carrier wave medium or physical transmission medium.Non-volatile storage media include, for example, optical or magneticdisks, such as any of the storage devices in any computer(s) or thelike, such as may be used to implement the databases, etc. shown in thedrawings. Volatile storage media include dynamic memory, such as mainmemory of such a computer platform. Tangible transmission media includecoaxial cables; copper wire and fiber optics, including the wires thatcomprise a bus within a computer system. Carrier-wave transmission mediamay take the form of electric or electromagnetic signals, or acoustic orlight waves such as those generated during radio frequency (RF) andinfrared (IR) data communications. Common forms of computer-readablemedia therefore include for example: a floppy disk, a flexible disk,hard disk, magnetic tape, any other magnetic medium, a CD-ROM, DVD orDVD-ROM, any other optical medium, punch cards paper tape, any otherphysical storage medium with patterns of holes, a RAM, a ROM, a PROM andEPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wavetransporting data or instructions, cables or links transporting such acarrier wave, or any other medium from which a computer may readprogramming code and/or data. Many of these forms of computer readablemedia may be involved in carrying one or more sequences of one or moreinstructions to a processor for execution.

The computer system 201 can include or be in communication with anelectronic display 235 that comprises a user interface (UI) that enablesa user to monitor a data center, as described herein. Examples of UI'sinclude, without limitation, a graphical user interface (GUI) andweb-based user interface. The electronic display 235 may be part of anelectronic device of a user, such as mobile (or portable) electronicdevice. In some examples, one or more updates with respect to anattribute and/or a state of each or a subset of at least 1, 2, 3, 4, 5,6, 7, 8, 9, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500,or 1000 computer servers can be displayed on the electronic display 235.

Systems of the present disclosure can enable the monitoring of remotedata centers having various numbers of computer servers. For example, asystem of the present disclosure can enable a remote data center havingat least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30, 40, 50, 60, 70, 80, 90,100, 200, 300, 400, 500, or 1000 computer servers to be monitored. Asubset of the computer servers can be different from a remainder of thecomputer servers.

Methods and systems of the present disclosure may be combined with ormodified by other methods and systems, such as those described in, forexample, PCT/US15/44721 (“SYSTEMS FOR MANAGING DATACENTERS”), which isentirely incorporated herein by reference.

While preferred embodiments of the present invention have been shown anddescribed herein, it will be obvious to those skilled in the art thatsuch embodiments are provided by way of example only. It is not intendedthat the invention be limited by the specific examples provided withinthe specification. While the invention has been described with referenceto the aforementioned specification, the descriptions and illustrationsof the embodiments herein are not meant to be construed in a limitingsense. Numerous variations, changes, and substitutions will now occur tothose skilled in the art without departing from the invention.Furthermore, it shall be understood that all aspects of the inventionare not limited to the specific depictions, configurations or relativeproportions set forth herein which depend upon a variety of conditionsand variables. It should be understood that various alternatives to theembodiments of the invention described herein may be employed inpracticing the invention. It is therefore contemplated that theinvention shall also cover any such alternatives, modifications,variations or equivalents. It is intended that the following claimsdefine the scope of the invention and that methods and structures withinthe scope of these claims and their equivalents be covered thereby.

What is claimed is:
 1. A computer-implemented method for managing adatacenter, the computer-implemented method comprising: providing acomputer system including a plurality of computer servers that areoperatively coupled to one another over a first network, wherein each ofsaid plurality of computer servers is programmed to store datapertaining to a remote computer system of the datacenter, wherein saidplurality of computer servers includes a first computer server that isoperatively coupled to said remote computer system over a secondnetwork, which first computer server is initially dedicated to saidremote computer system of the datacenter for at least one of access andretrieval of said data, wherein said data comprises operational statedata including at least one of power consumption data and environmentalparametric data with respect to the remote computer system, and whereinonly said first computer server of the plurality of computer servers isconfigured to be contacted initially by the remote computer system ofthe datacenter for accessing at least a portion of the operational statedata, and further wherein said first network is an internal network ofthe computer system comprising the plurality of computer servers andsaid second network is an external network with respect to the computersystem; receiving, at said first computer server over said secondnetwork, a dedicated request from said remote computer system toretrieve at least a subset of said data; responsive to receiving thededicated request from said remote computer system, directing over saidfirst network a query from said first computer server to one or moreother computer servers of said plurality of computer servers to retrievesaid at least said subset of said data; aggregating at least a portionof said at least said subset of said data at said first computer serverfrom said one or more other computer servers over said first network;and directing said at least said subset of said data from said firstcomputer server to said remote computer system of the datacenter oversaid second network.
 2. The computer-implemented method of claim 1,wherein said data is stored in a distributed fashion on at least asubset of said plurality of computer servers.
 3. Thecomputer-implemented method of claim 2, wherein said data is stored witha timestamp that corresponds to a date and one or more time points inwhich said data was stored in said plurality of computer servers.
 4. Thecomputer-implemented method of claim 3, wherein said aggregatingcomprises sorting said at least said subset of said data by saidtimestamp.
 5. The computer-implemented method of claim 2, wherein saiddata is stored with information that identifies which of said pluralityof computer servers stored said data or subset thereof.
 6. Thecomputer-implemented method of claim 1, wherein said one or more othercomputer servers include a second computer server that is operativelycoupled to said first computer server over said first network, whichsecond computer server mirrors said first computer server.
 7. Thecomputer-implemented method of claim 6, wherein said second computerserver is configured to operate as a dedicated server with respect tosaid remote computer system responsive to determining that said firstcomputer server initially dedicated to the remote computer system hasexperienced a failure.
 8. The computer-implemented method of claim 1,wherein said aggregating comprises transforming said at least saidsubset of said data collected from at least one of said first computerserver and said one or more other computer servers into a format that ispresentable to said remote computer system.
 9. The computer-implementedmethod of claim 1, wherein said aggregating comprises aggregating aremainder of said at least said subset of said data from said firstcomputer server.
 10. A system for managing a datacenter, the systemcomprising: a computer system having a plurality of computer serversthat are operatively coupled to one another over a first network,wherein each of said plurality of computer servers is programmed tostore data pertaining to a remote computer system of the datacenter,wherein said plurality of computer servers includes a first computerserver that is operatively coupled to said remote computer system over asecond network, which first computer server is initially dedicated tosaid remote computer system of the datacenter for at least one of accessand retrieval of said data, wherein said data comprises operationalstate data including at least one of power consumption data andenvironmental parametric data with respect to the remote computersystem, and wherein only said first computer server of the plurality ofcomputer servers is configured to be contacted initially by the remotecomputer system of the datacenter for accessing at least a portion ofthe operational state data, and further wherein said first network is aninternal network of the computer system comprising the plurality ofcomputer servers and said second network is an external network withrespect to the computer system; a communication interface that isadapted to bring said first computer server in communication with saidremote computer server of the datacenter over said second network; and acomputer processor that is programmed to (i) receive a dedicated requestfrom said remote computer system via said communication interface oversaid second network to retrieve at least a subset of said data; (ii)responsive to receiving the dedicated request from said remote computersystem, direct over said first network a query to said one or more othercomputer servers of said plurality of computer servers to retrieve saidsubset of said data; (iii) aggregate at least a portion of said subsetof said data at said first computer server from said one or more othercomputer servers over said first network; and (iv) direct said subset ofsaid data from said first computer server to said remote computer systemof the datacenter over said second network.
 11. The system of claim 10,wherein said data is stored in a distributed fashion on at least asubset of said plurality of computer servers.
 12. The system of claim11, wherein said data is stored with a timestamp that corresponds to adate and one or more time points in which said data was stored in saidplurality of computer servers.
 13. The system of claim 12, wherein saidcomputer processor is programmed to sort said at least said subset ofsaid data by said timestamp.
 14. The system of claim 11, wherein saiddata is stored with information that identifies which of said pluralityof computer servers stored said data or subset thereof.
 15. The systemof claim 10, wherein said one or more other computer servers include asecond computer server that is operatively coupled to said firstcomputer server over said first network, which second computer servermirrors said first computer server.
 16. The system of claim 15, whereinsaid second computer server is configured to operate as a dedicatedserver with respect to said remote computer system responsive todetermining that said first computer server initially dedicated to theremote computer system has experienced a failure.
 17. The system ofclaim 10, wherein said computer processor is programmed to transformsaid at least said subset of said data collected from at least one ofsaid first computer server and said one or more other computer serversinto a format that is presentable to said remote computer system. 18.The system of claim 10, wherein said computer processor is programmed toaggregate a remainder of said at least said subset of said data fromsaid first computer server.
 19. A non-transitory computer storage mediumcomprising machine-executable code that, upon execution by one or morecomputer processors, implements a method for managing a datacenter, saidmethod comprising: providing a computer system including a plurality ofcomputer servers that are operatively coupled to one another over afirst network, wherein each of said plurality of computer servers isprogrammed to store data pertaining to a remote computer system of thedatacenter, wherein said plurality of computer servers includes a firstcomputer server that is operatively coupled to said remote computersystem over a second network, which first computer server is initiallydedicated to said remote computer system of the datacenter for at leastone of access and retrieval of said data, wherein said data comprisesoperational state data including at least one of power consumption dataand environmental parametric data with respect to the remote computersystem, and wherein only said first computer server of the plurality ofcomputer servers is configured to be contacted initially by the remotecomputer system of the datacenter for accessing at least a portion ofthe operational state data, and further wherein said first network is aninternal network of the computer system comprising the plurality ofcomputer servers and said second network is an external network withrespect to the computer system; receiving, at said first computer serverover said second network, a dedicated request from said remote computersystem to retrieve at least a subset of said data; responsive toreceiving the dedicated request from said remote computer system,directing over said first network a query from said first computerserver to one or more other computer servers of said plurality ofcomputer servers to retrieve said at least said subset of said data;aggregating at least a portion of said at least said subset of said dataat said first computer server from said one or more other computerservers over said first network; and directing said at least said subsetof said data from said first computer server to said remote computersystem of the datacenter over said second network.
 20. Thenon-transitory computer storage medium of claim 19, wherein said data isstored in a distributed fashion on at least a subset of said pluralityof computer servers.
 21. The non-transitory computer storage medium ofclaim 19, wherein said aggregating comprises transforming said at leastsaid subset of said data collected from said first computer serverand/or said one or more other computer servers into a format that ispresentable to said remote computer system.
 22. The non-transitorycomputer storage medium of claim 19, wherein said aggregating comprisesaggregating a remainder of said at least said subset of said data fromsaid first computer server.
 23. The non-transitory computer storagemedium of claim 19, wherein said one or more other computer serversinclude a second computer server that is operatively coupled to saidfirst computer server over said first network, which second computerserver mirrors said first computer server.
 24. The non-transitorycomputer storage medium of claim 23, further including programinstructions for configuring said second computer server to operate as adedicated server with respect to said remote computer system responsiveto determining that said first computer server initially dedicated tothe remote computer system has experienced a failure.